https://github.com/lucs1590/agidatatest
This is a repository with data analysis and data science tests.
https://github.com/lucs1590/agidatatest
data-analysis data-science python test
Last synced: about 2 months ago
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This is a repository with data analysis and data science tests.
- Host: GitHub
- URL: https://github.com/lucs1590/agidatatest
- Owner: Lucs1590
- Created: 2021-10-05T23:16:58.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-09-20T18:59:14.000Z (almost 3 years ago)
- Last Synced: 2025-01-13T06:42:00.936Z (over 1 year ago)
- Topics: data-analysis, data-science, python, test
- Language: Jupyter Notebook
- Homepage:
- Size: 45 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AgiTest
This is a repository with data analysis and programming tests.
## Prerequisites
As a prerequisite for the execution of this project, the following are cited:
- Python >= 3
Thus, the installation of prerequisites can be performed from the command:
```bash
pip install -r requirements.txt
```
Or through a conda environment, running:
```bash
count env create -f environment.yml
```
## Programming Test
This test is related to the validation of the response rate of a given list composed of groups that supposedly were hired or not in a company.
To run the unit tests for this exercise, run:
```bash
python -m unittest tests/test_main.py
```
To check the functions documentation, run:
```bash
python -m pydoc src/main.py
```
Finally, to view the script execution, run:
```bash
python src/main.py
```
## Data Analysis Test
The second test is related to exploring financial inclusion data from Africa. You can access it by opening `financial_incusion_africa.ipynb` or by going to the following link:
- https://colab.research.google.com/drive/1qGBj2B4z3yQqteYGUQFgmF12N7kCRJki?usp=sharing